Common questions.
Quick answers about scope, scanning, data handling, and where Cartograph fits relative to your existing stack.
Frequently asked
What is the Agent Visibility Gap?+
The Agent Visibility Gap is the difference between what your current tools can measure and what actually influences AI-mediated discovery, evaluation, cart creation, checkout, and post-purchase outcomes.
What does Cartograph observe?+
Publicly available commerce surfaces first — product pages, structured data, sitemaps, robots and bot posture, return and shipping policies, and selected checkout surfaces. Cartograph does not require access to your admin, payment account, or customer data for the initial Agent Evidence Scan.
Is Cartograph a bot detector, PIM, analytics tool, or PSP?+
No. Cartograph is being built as the agent-commerce evidence layer across them. The planned integration connects evidence from those systems without replacing them.
Who is Cartograph for?+
Ecommerce, analytics, product data, security, and payments teams at merchants preparing for AI-mediated shopping.
Does observing my store affect the live experience?+
No. The initial Agent Evidence Scan is specified to be read-only across public surfaces: it does not log in, place orders, or transact.
How do you handle our data?+
We use inputs and findings to produce your Agent Evidence Report and follow up about it. We do not sell merchant data. Any aggregate benchmarks we publish in future will be anonymized. See the Privacy page for details.
Can you guarantee AI agents will choose our store?+
No. Cartograph is being built to help you find and remove the gaps that cause agents to misread or fail at your store. Choice is up to the agent — but readability and reliability are prerequisites.